Search Results - "Koay, Abigail"

Machine learning in industrial control system (ICS) security: current landscape, opportunities and challenges by Koay, Abigail M. Y., Ko, Ryan K. L, Hettema, Hinne, Radke, Kenneth

“…The advent of Industry 4.0 has led to a rapid increase in cyber attacks on industrial systems and processes, particularly on Industrial Control Systems (ICS)…”
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Fog-Assisted SDN Controlled Framework for Enduring Anomaly Detection in an IoT Network by Shafi, Qaisar, Basit, Abdul, Qaisar, Saad, Koay, Abigail, Welch, Ian

“…Extensive adoption of intelligent devices with ubiquitous connectivity has increased Internet of Things (IoT) traffic tremendously. The smart devices promise…”
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Benchmarking and learning garbage collection delays for resource‐restricted graphical user interfaces by McCarthy, Harry, Koay, Abigail, Dawson, Michael, Kent, Kenneth B., Patros, Panos

“…Tablets, smartphones, and wearables have limited resources. Applications on these devices employ a graphical user interface (GUI) for interaction with users…”
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Comparison Of Pretrained Feature Extractors For Glaucoma Detection by Gunasinghe, Hansi, McKelvie, James, Koay, Abigail, Mayo, Michael

“…Glaucoma identification is often performed manually by medical professionals, which is time consuming. Automated image analysis (e.g. of retinal fundus images)…”
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Embedding Java Classes with code2vec: Improvements from Variable Obfuscation by Compton, Rhys, Frank, Eibe, Patros, Panos, Koay, Abigail

“…Automatic source code analysis in key areas of software engineering, such as code security, can benefit from Machine Learning (ML). However, many standard ML…”
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A new multi classifier system using entropy-based features in DDoS attack detection by Koay, Abigail, Chen, Aaron, Welch, Ian, Seah, Winston K. G.

“…Entropy-based features have been widely utilized for detecting DDoS attacks in recent years. However, existing approaches mainly focus on using a small number…”
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Positive-Unlabeled Learning using Random Forests via Recursive Greedy Risk Minimization by Wilton, Jonathan, Koay, Abigail M. Y, Ko, Ryan K. L, Xu, Miao, Ye, Nan

“…The need to learn from positive and unlabeled data, or PU learning, arises in many applications and has attracted increasing interest. While random forests are…”
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Maintaining SLOs of Cloud-Native Applications Via Self-Adaptive Resource Sharing by Podolskiy, Vladimir, Mayo, Michael, Koay, Abigail, Gerndt, Michael, Patros, Panos

“…With changing workloads, cloud service providers can leverage vertical container scaling (adding/removing resources) so that Service Level Objective (SLO)…”
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Embedding Java Classes with code2vec: Improvements from Variable Obfuscation by Compton, Rhys, Frank, Eibe, Patros, Panos, Koay, Abigail

“…Automatic source code analysis in key areas of software engineering, such as code security, can benefit from Machine Learning (ML). However, many standard ML…”
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Plan2Defend: AI Planning for Cybersecurity in Smart Grids by Choi, Taejun, Ko, Ryan K L, Saha, Tapan, Scarsbrook, Joshua, Koay, Abigail MY, Wang, Shunyao, Zhang, Wenlu, Clair, Connor St

“…AI Planning (or Automated Planning) is a sub-field within AI which has been applied to several information security sub-fields, particularly vulnerability…”
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